Rexer Analytics

China

Data science and predictive modeling for strategic insights

Rexer Analytics specializes in data science, predictive modeling, and CRM consulting, providing analytic solutions to deliver insights and drive strategic decisions. Founded in 2002 by Karl Rexer, the firm partners with clients to design and implement solutions aligned with their business goals. Their team is skilled in statistical and data mining techniques, serving industries such as financial services, technology, retail, manufacturing, and higher education.

The agency offers a range of services including predictive modeling, survey research, and analytic CRM solutions. They focus on improving customer acquisition, growth, and retention through targeted models and market-basket analyses. Additionally, Rexer Analytics provides analytic training, fraud detection, and forecasting services, ensuring that results are clearly communicated to all audiences.

Rexer Analytics has worked with notable clients like PwC, Hewlett Packard, and MIT, delivering projects that forecast hospital blood orders, identify at-risk loans, and detect fraudulent insurance claims. Their work has saved significant costs for clients, such as reducing fraud losses for Hewlett Packard by over $65 million.

24
YEARS IN BUSINESS
7
SERVICES

Agency details

Team size
11-50 people
Founded
2002 (24 years)

About this agency on Agency List

Rexer Analytics holds an Agency List Score of 92 out of 100.

That score is higher than 77% of the 36,920 agencies Agency List has assessed so far.

The Agency List Score measures how well an agency documents its work in public: named clients, quantified outcomes, and whether those outcomes are attributed to the agency rather than to the client.

It does not measure client satisfaction, price, or availability.

How the Agency List Score is measured

Assessment date

Agency List assessed Rexer Analytics in September 2026, reading 5 pages published on rexeranalytics.com.

The score reflects what Rexer Analytics had published by that date; anything published since has not been read.

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